Unravelling Interlanguage Facts via Explainable Machine Learning. (arXiv:2208.01468v1 [cs.CL])

Native language identification (NLI) is the task of training (via supervised
machine learning) a classifier that guesses the native language of the author
of a text. This task has been extensively researched in the last decade, and
the performance of NLI systems has steadily improved over the years. We focus
on a different facet of the NLI task, i.e., that of analysing the internals of
an NLI classifier trained by an \emph{explainable} machine learning algorithm,
in order to obtain explanations …

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